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  • Interpretability Vs Explainability

Results for "interpretability vs explainability"


  • U

    University of Huddersfield

    BSc Data Science

    Skills you'll gain: Integral Calculus, Matplotlib, Calculus, Differential Equations, Data Visualization Software, Python Programming, Data Analysis, Mathematical Modeling, Engineering Analysis, Applied Mathematics, Data Manipulation, Statistical Analysis, Data Structures, Computer Programming, Pandas (Python Package), Debugging, NumPy, Object Oriented Programming (OOP)

    Earn a degree

    Degree · 1 - 4 Years

  • S

    S.P. Jain Institute of Management and Research

    Post Graduate Diploma in Management Online

    Skills you'll gain: Mergers & Acquisitions, Search Engine Marketing, Working Capital, Competitive Analysis, Operations Management, Business Valuation, Manufacturing Operations, Design Thinking, Large Language Modeling, Business Strategy, Supply Chain Management, Digital Transformation, Promotional Strategies, Consumer Behaviour, Team Management, Organizational Change, Change Management, Financial Statement Analysis, Technical Consulting, Business Analytics

    Earn a degree

    Degree · 1 - 4 Years

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 1

    Skills you'll gain: Feature Engineering, Classification And Regression Tree (CART), Decision Tree Learning, Applied Machine Learning, Random Forest Algorithm, Responsible AI, Predictive Modeling, Data Import/Export, Machine Learning, Predictive Analytics

    4.4
    Rating, 4.4 out of 5 stars
    ·
    64 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Interpretable machine learning applications: Part 3

    Skills you'll gain: Artificial Neural Networks, Tensorflow, Keras (Neural Network Library), Data-Driven Decision-Making, Applied Machine Learning, Business Analytics, Predictive Modeling, Deep Learning, Machine Learning, Mortgage Loans, Consumer Lending

    4.5
    Rating, 4.5 out of 5 stars
    ·
    21 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Explainable AI: Scene Classification and GradCam Visualization

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, Image Analysis, Tensorflow, Computer Vision, Machine Learning Methods, Applied Machine Learning, Artificial Neural Networks, Predictive Modeling, Machine Learning, Data Processing, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    58 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 4

    Skills you'll gain: Predictive Modeling, Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Analysis, Data Import/Export, Google Cloud Platform, Jupyter, Decision Tree Learning, Data Processing, Machine Learning, Random Forest Algorithm, Statistical Visualization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    15 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Speaking to inform: Discussing complex ideas with clear explanations and dynamic slides

    Skills you'll gain: Presentations, Public Speaking, Microsoft PowerPoint, Verbal Communication Skills, Communication, Storytelling, Constructive Feedback, Concision, Drive Engagement, Target Audience

    4.8
    Rating, 4.8 out of 5 stars
    ·
    450 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Think Again I: How to Understand Arguments

    Skills you'll gain: Persuasive Communication, Writing, Oral Expression, Interpersonal Communications

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.1K reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Interpretable machine learning applications: Part 5

    Skills you'll gain: Responsible AI, Histogram, Predictive Modeling, Data Visualization, Machine Learning, Policy Analysis, Statistical Methods, Data Science, Descriptive Statistics, Data Ethics, Development Environment, Software Engineering

    4.5
    Rating, 4.5 out of 5 stars
    ·
    19 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Preview
    Preview
    U

    University of California, Santa Cruz

    Tutoring and Teaching Math for Understanding

    Skills you'll gain: Instructional Strategies, Student-Centred Learning

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Deep Teaching Solutions

    Rethinking Logic: Surprising Science of Critical Thinking

    Skills you'll gain: Critical Thinking, Curiosity, Deductive Reasoning, Independent Thinking, Open Mindset, Complex Problem Solving, Lifelong Learning, Growth Mindedness, Willingness To Learn, Systems Thinking, Cognitive flexibility, Decision Making, Social Sciences, Behavioral Economics, Scientific Methods

    4.9
    Rating, 4.9 out of 5 stars
    ·
    43 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    B

    Board Infinity

    Data Interpretation & Insights: Exam & Recruitment Prep

    Skills you'll gain: Data Literacy, Decision Making, Data Analysis, Analytical Skills, Case Studies, Logical Reasoning, Data-Driven Decision-Making, Deductive Reasoning, Data Presentation, Data Visualization, Complex Problem Solving, Numerical Analysis

    Beginner · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular interpretability vs explainability courses

  • BSc Data Science: University of Huddersfield
  • Post Graduate Diploma in Management Online: S.P. Jain Institute of Management and Research
  • Interpretable Machine Learning Applications: Part 1: Coursera
  • Interpretable machine learning applications: Part 3: Coursera
  • Explainable AI: Scene Classification and GradCam Visualization : Coursera
  • Interpretable Machine Learning Applications: Part 4: Coursera
  • Speaking to inform: Discussing complex ideas with clear explanations and dynamic slides: University of Washington
  • Think Again I: How to Understand Arguments: Duke University
  • Interpretable machine learning applications: Part 5: Coursera
  • Tutoring and Teaching Math for Understanding: University of California, Santa Cruz

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